On probabilities for separating sets of order statistics
Computation
2007-06-26 v1 Probability
Statistics Theory
Statistics Theory
Abstract
Consider a set of order statistics that arise from sorting samples from two different populations, each with their own, possibly different distribution function. The probability that these order statistics fall in disjoint, ordered intervals, and that of the smallest statistics, a certain number come from the first populations, are given in terms of the two distribution functions. The result is applied to computing the joint probability of the number of rejections and the number of false rejections for the Benjamini-Hochberg false discovery rate procedure.
Cite
@article{arxiv.0706.3520,
title = {On probabilities for separating sets of order statistics},
author = {Deborah H. Glueck and Anis Karimpour-Fard and Jan Mandel and Keith E. Muller},
journal= {arXiv preprint arXiv:0706.3520},
year = {2007}
}